Aikido is the all-in-one security platform for development teams to secure their complete stack, from code to cloud. Aikido centralizes all code and cloud security scanners in one place.
Aikido offers a range of powerful scanners including static code analysis (SAST), dynamic application security testing (DAST), container image scanning, and infrastructure-as-code (IaC) scanning.
Aikido integrates AI-powered auto-fixing features, reducing manual work by automatically generating pull requests to resolve vulnerabilities and security issues. It also provides customizable alerts, real-time vulnerability monitoring, and runtime protection, enabling teams to secure their applications and infrastructure seamlessly.
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Jscrambler is the leader in Client-Side Security, protecting the code, data, and digital interactions that power today’s modern web applications.
Modern applications are changing rapidly as development teams adopt AI-generated code, rely on third-party software components, and embed AI-powered agents into digital experiences. Meanwhile, sensitive information is increasingly created and processed in the browser itself. This creates a critical gap in enterprise security: organizations need to govern not only what code enters an application, but how that code, scripts, and data behave when the application runs.
Jscrambler closes that gap with a Client-Side Security Platform built around its Behavioral Enforcement Core. The platform continuously monitors and enforces how application code, including AI-generated code, third-party scripts, AI agents, and sensitive data behave in the browser. By enforcing software integrity and data governance at runtime, Jscrambler gives organizations control at the point where code executes and data is created—before sensitive information can be exposed or transmitted.
Organizations across retail, financial services, travel, healthcare, and other industries use Jscrambler to detect and stop client-side attacks, protect against risks introduced by AI-developed and third-party code, control AI-driven data flows, and strengthen compliance with requirements including PCI DSS, GDPR, HIPAA, CIPA, CCPA, and the EU AI Act.
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Avocado
Mitigate lateral movement and prevent data theft by utilizing Avocado's security and visibility solutions that are both agentless and tailored for applications. This innovative approach combines app-native security with runtime policies and pico-segmentation, ensuring both simplicity and robust security at scale. By establishing microscopic perimeters around application subprocesses, threats can be contained at their most minimal definable surfaces. Additionally, by integrating runtime controls directly into these subprocesses, Avocado enables self-learning threat detection and automated remediation, regardless of the programming language or system architecture in use. Furthermore, it automatically shields your data from east-west attacks, functioning without the need for manual intervention and achieving near-zero false positives. Traditional agent-based detection methods, which rely on signatures, memory analysis, and behavioral assessments, fall short when faced with extensive attack surfaces and the persistent nature of lateral threats. Unless there is a fundamental shift in how attacks are detected, zero-day vulnerabilities and misconfiguration issues will persist, posing ongoing risks to organizational security. Ultimately, adopting such an advanced security model is essential for staying ahead of evolving cyber threats.
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SEAP
SEAP® for Mobile serves as an SDK that seamlessly integrates into the customer's application without the need for special permissions, while SEAP® for Web utilizes JavaScript to function within the web browser environment, eliminating the requirement for agent installation. This innovative system identifies malware threats across both mobile and web platforms, including sophisticated attacks such as man-in-the-browser, man-in-the-app, remote access trojans (RAT), web injections, overlay attacks, SMS grabbing, memory tampering, and various forms of injection attacks. Additionally, SEAP® is capable of detecting and reporting technological vulnerabilities on devices, such as jailbreaking, rooting, attempts at reverse engineering, binary tampering, and repacking. For certain device conditions detected, the app can activate countermeasures through dedicated RASP APIs. Furthermore, SEAP® also identifies fraudulent activities that compromise existing user accounts by employing behavioral biometrics and device identity verification methods, ensuring enhanced security for users. This comprehensive approach to threat detection not only safeguards applications but also fortifies user trust in digital environments.
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